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Showing 20 of 813 academic articles

Machine learning in the Chinese stock market

Markus Leippold, Qian Wang, Wenyu Zhou • Journal of Financial Economics (2021)

We add to the emerging literature on empirical asset pricing in the Chinese stock market by building and analyzing a comprehensive set of return prediction factors using various machine learning algorithms. Contrasting previous studies for ...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.jfineco.2021.08.017

Machine Learning for Stock Selection

Keywan Christian Rasekhschaffe, Robert C. Jones • Financial Analysts Journal (2019)

Machine learning is an increasingly important and controversial topic in quantitative finance. A lively debate persists as to whether machine learning techniques can be practical investment tools. Although machine learning algorithms can un...

OPENALEX DOI: https://doi.org/10.1080/0015198x.2019.1596678

Machine learning in manufacturing: advantages, challenges, and applications

Thorsten Wuest, Daniel Weimer, Christopher Irgens, Klaus‐Dieter Thoben • Production & Manufacturing Research (2016)

The nature of manufacturing systems faces ever more complex, dynamic and at times even chaotic behaviors. In order to being able to satisfy the demand for high-quality products in an efficient manner, it is essential to utilize all means av...

OPENALEX cc-by DOI: https://doi.org/10.1080/21693277.2016.1192517

Determinants of Tourism Demand Using Machine Learning Techniques

Musonera Abdou, Edouard Musabanganji, Herman Musahara • African Journal of Hospitality, Tourism and Leisure (2022)

The purpose of the current study was to determine factors affecting tourism demand using machine learning techniques. The results of different linear regression and random forest models on both the train and test sets were compared using RM...

DOAJ Open Access (DOAJ) DOI: https://doi.org/10.46222/ajhtl.19770720.256

Machine learning and deep learning

Christian Janiesch, Patrick Zschech, Kai Heinrich • Electronic Markets (2021)

Abstract Today, intelligent systems that offer artificial intelligence capabilities often rely on machine learning. Machine learning describes the capacity of systems to learn from problem-specific training data to automate the process of a...

OPENALEX cc-by DOI: https://doi.org/10.1007/s12525-021-00475-2

Artificial Intelligence in Logistics

László Kota • Advanced Logistic Systems - Theory and Practice (2018)

The artificial intelligence undergoes an enormous development since its appearance in the fifties. The computing power has grown exponentially since then, enabling the use of artificial intelligence applications in different areas. Since th...

OPENALEX DOI: https://doi.org/10.32971/als.2019.004

Artificial intelligence and professional roles

Luke Tredinnick • Business Information Review (2017)

2017 promises to be the year that artificial intelligence (AI) moves out of film and fiction and into the workplace. While automation has become commonplace in retail and services, from the ubiquitous uptake of automatic tills to the growin...

OPENALEX DOI: https://doi.org/10.1177/0266382117692621

Marketing and Artificial Intelligence

Krystyna Jarek, Grzegorz Mazurek • Central European Business Review (2019)

In recent years, artificial intelligence (AI) has become an emerging trend in different fields: science, business, medicine, automotive and education. AI has also reached marketing. The aim of the paper is to research how deeply AI is appli...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.18267/j.cebr.213

Artificial Intelligence for Enhancing Resilience

Nitin Rane, Mallikarjuna Paramesha, Saurabh Choudhary, Jayesh Rane • Journal of Applied Artificial Intelligence (2024)

In an increasingly complex and unpredictable world, resilience-the ability to withstand and recover from adverse conditions is essential across various sectors. This research paper investigates the transformative potential of artificial int...

OPENALEX cc-by DOI: https://doi.org/10.2139/ssrn.4831911

Applications of artificial intelligence in intelligent manufacturing: a review

Bo-hu Li, Baocun Hou, Wentao Yu, Xiaobing Lu et al. • Frontiers of Information Technology & Electronic Engineering (2017)

Based on research into the applications of artificial intelligence (AI) technology in the manufacturing industry in recent years, we analyze the rapid development of core technologies in the new era of ‘Internet plus AI’, which is triggerin...

OPENALEX Open Access DOI: https://doi.org/10.1631/fitee.1601885

Artificial Intelligence and Business Value: a Literature Review

Ida Merete Enholm, Emmanouil Papagiannidis, Patrick Mikalef, John Krogstie • Information Systems Frontiers (2021)

Abstract Artificial Intelligence (AI) are a wide-ranging set of technologies that promise several advantages for organizations in terms off added business value. Over the past few years, organizations are increasingly turning to AI in order...

OPENALEX cc-by DOI: https://doi.org/10.1007/s10796-021-10186-w

Artificial intelligence: A powerful paradigm for scientific research

Yongjun Xu, Xin Liu, Xin Cao, Changping Huang et al. • The Innovation (2021)

Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer science is broadly affecting many aspects of various fields including science and technology, industry, and even our day-to-day li...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.xinn.2021.100179 PMC: 8633405